These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

193 related articles for article (PubMed ID: 34089126)

  • 1. Radiology "forensics": determination of age and sex from chest radiographs using deep learning.
    Yi PH; Wei J; Kim TK; Shin J; Sair HI; Hui FK; Hager GD; Lin CT
    Emerg Radiol; 2021 Oct; 28(5):949-954. PubMed ID: 34089126
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep Learning Method for Automated Classification of Anteroposterior and Posteroanterior Chest Radiographs.
    Kim TK; Yi PH; Wei J; Shin JW; Hager G; Hui FK; Sair HI; Lin CT
    J Digit Imaging; 2019 Dec; 32(6):925-930. PubMed ID: 30972585
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep learning prediction of sex on chest radiographs: a potential contributor to biased algorithms.
    Li D; Lin CT; Sulam J; Yi PH
    Emerg Radiol; 2022 Apr; 29(2):365-370. PubMed ID: 35006495
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparison of radiologist versus natural language processing-based image annotations for deep learning system for tuberculosis screening on chest radiographs.
    Yi PH; Kim TK; Lin CT
    Clin Imaging; 2022 Jul; 87():34-37. PubMed ID: 35483162
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automated semantic labeling of pediatric musculoskeletal radiographs using deep learning.
    Yi PH; Kim TK; Wei J; Shin J; Hui FK; Sair HI; Hager GD; Fritz J
    Pediatr Radiol; 2019 Jul; 49(8):1066-1070. PubMed ID: 31041454
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Can AI outperform a junior resident? Comparison of deep neural network to first-year radiology residents for identification of pneumothorax.
    Yi PH; Kim TK; Yu AC; Bennett B; Eng J; Lin CT
    Emerg Radiol; 2020 Aug; 27(4):367-375. PubMed ID: 32643070
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Lesion-aware convolutional neural network for chest radiograph classification.
    Li F; Shi JX; Yan L; Wang YG; Zhang XD; Jiang MS; Wu ZZ; Zhou KQ
    Clin Radiol; 2021 Feb; 76(2):155.e1-155.e14. PubMed ID: 33077154
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks.
    Lakhani P; Sundaram B
    Radiology; 2017 Aug; 284(2):574-582. PubMed ID: 28436741
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Limited generalizability of deep learning algorithm for pediatric pneumonia classification on external data.
    Xin KZ; Li D; Yi PH
    Emerg Radiol; 2022 Feb; 29(1):107-113. PubMed ID: 34648114
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Generalizable Inter-Institutional Classification of Abnormal Chest Radiographs Using Efficient Convolutional Neural Networks.
    Pan I; Agarwal S; Merck D
    J Digit Imaging; 2019 Oct; 32(5):888-896. PubMed ID: 30838482
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Assessment of Critical Feeding Tube Malpositions on Radiographs Using Deep Learning.
    Singh V; Danda V; Gorniak R; Flanders A; Lakhani P
    J Digit Imaging; 2019 Aug; 32(4):651-655. PubMed ID: 31073816
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Refining dataset curation methods for deep learning-based automated tuberculosis screening.
    Kim TK; Yi PH; Hager GD; Lin CT
    J Thorac Dis; 2020 Sep; 12(9):5078-5085. PubMed ID: 33145084
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation.
    Majkowska A; Mittal S; Steiner DF; Reicher JJ; McKinney SM; Duggan GE; Eswaran K; Cameron Chen PH; Liu Y; Kalidindi SR; Ding A; Corrado GS; Tse D; Shetty S
    Radiology; 2020 Feb; 294(2):421-431. PubMed ID: 31793848
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Effect of Training Data Volume on Performance of Convolutional Neural Network Pneumothorax Classifiers.
    Thian YL; Ng DW; Hallinan JTPD; Jagmohan P; Sia SY; Mohamed JSA; Quek ST; Feng M
    J Digit Imaging; 2022 Aug; 35(4):881-892. PubMed ID: 35239091
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Detection of Pneumothorax with Deep Learning Models: Learning From Radiologist Labels vs Natural Language Processing Model Generated Labels.
    Hallinan JTPD; Feng M; Ng D; Sia SY; Tiong VTY; Jagmohan P; Makmur A; Thian YL
    Acad Radiol; 2022 Sep; 29(9):1350-1358. PubMed ID: 34649780
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep learning for classification of pediatric chest radiographs by WHO's standardized methodology.
    Chen Y; Roberts CS; Ou W; Petigara T; Goldmacher GV; Fancourt N; Knoll MD
    PLoS One; 2021; 16(6):e0253239. PubMed ID: 34153076
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study.
    Zech JR; Badgeley MA; Liu M; Costa AB; Titano JJ; Oermann EK
    PLoS Med; 2018 Nov; 15(11):e1002683. PubMed ID: 30399157
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Assessing clinical applicability of COVID-19 detection in chest radiography with deep learning.
    Pedrosa J; Aresta G; Ferreira C; Carvalho C; Silva J; Sousa P; Ribeiro L; Mendonça AM; Campilho A
    Sci Rep; 2022 Apr; 12(1):6596. PubMed ID: 35449199
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Using deep-learning techniques for pulmonary-thoracic segmentations and improvement of pneumonia diagnosis in pediatric chest radiographs.
    E L; Zhao B; Guo Y; Zheng C; Zhang M; Lin J; Luo Y; Cai Y; Song X; Liang H
    Pediatr Pulmonol; 2019 Oct; 54(10):1617-1626. PubMed ID: 31270968
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automated detection and classification of shoulder arthroplasty models using deep learning.
    Yi PH; Kim TK; Wei J; Li X; Hager GD; Sair HI; Fritz J
    Skeletal Radiol; 2020 Oct; 49(10):1623-1632. PubMed ID: 32415371
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.